code: def _is_arraylike(input_):
      return isinstance(input_, np.ndarray) or isinstance(input_, list)
  
file_path: fairlearn/fairlearn/metrics/_plotter.py
imports: from typing import List, Union
  import numpy
  import pandas
  from matplotlib.lines import Line2D
  from sklearn.utils import check_consistent_length
  from ._metric_frame import MetricFrame
label_desc: Use image node_id 1 for calling a global function with example usage: _is_arraylike(input_) and returns: unknown